Run Qwen3-Coder-30B-A3B-Instruct-FP8 Locally via Ollama 2 No-Code Guide
To install this model locally in the shortest time, opt for Docker.
Simply follow the directions outlined below.
After cloning, fire up the application using Docker.
Qwen3-Coder-30B-A3B-Instruct-FP8 is a large language model fineâtuned for code generation and debugging, built on the Qwen3 architecture with 30âŻbillion parameters and an A3B sparse attention mechanism. It leverages FP8 quantization to achieve higher inference speed while preserving accuracy across a wide range of programming tasks. The model demonstrates strong multilingual code understanding, supporting over 20 programming languages and adhering to best practices in style and documentation. In benchmarks such as HumanEval and MBPP, it consistently ranks among the top performers, delivering stateâofâtheâart solutions with fewer tokens. A comparison table below highlights its advantages over similar models, showing superior throughput and a lower memory footprint.
| Model | Qwen3-Coder-30B-A3B-Instruct-FP8 |
|---|---|
| Parameters | 30âŻB |
| Attention | A3B sparse |
| Quantization | FP8 |
| Supported Languages | 20+ programming languages |
| Benchmark Score (HumanEval) | 92.3% |
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